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Foundations of Generic Optimization: Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks de R. Lowen

Foundations of Generic Optimization: Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks: Mathematical Modelling: Theory and Applications, cartea 24

Editat de R. Lowen, A. Verschoren
en Limba Engleză Hardback – 5 noi 2007
This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks.
This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field.
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Specificații

ISBN-13: 9781402066672
ISBN-10: 1402066678
Pagini: 472
Ilustrații: X, 458 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.92 kg
Ediția:2008
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Mathematical Modelling: Theory and Applications

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

An Overview of Fuzzy Control Theory.- Optimal Fuzzy Management of Reservoir based on Genetic Algorithm.- Genetic Fuzzy Modeling of Supervisory Scheduling of Freight Rail Systems.- Multiobjective Evolutionary Search of Difference Equations-based Models for Understanding Chaotic Systems.- An Integrated Fuzzy Inference-based Monitoring, Diagnostic, and Prognostic System for Intelligent Control and Maintenance.- Stable Anti-Swing Control for an Overhead Crane with Velocity Estimation and Fuzzy Compensation.- Intelligent Fuzzy PID Controller.- Stability Analysis and Performance Design for Fuzzy Model-based Control Systems using a BMI-based Approach.- Two-Level Tuning of Fuzzy PID Controllers for Multivariable Process Systems.- Evaluation of Fuzzy Implications and Intuitive Criteria of GMP and GMT using MATLAB GUI.- FzController: A Development Environment for Fuzzy Controllers.- A Consistency Criterion for Optimizing Defuzzification in Fuzzy Control.- An Asymptotic Consistency Criterion for Optimizing Defuzzification in Fuzzy Control.

Caracteristici

Timeliness of the comprehensive overview of fuzzy control Large body of authors, specialists in the field Articles with varied range of applications Specialist up-to-date research articles + comprehensive introduction to the field in one and the same work